CLAD-ECG: Cross-Lead Adaptation and Distillation for Smartwatch Single-Lead ECG Risk Assessment with LLM-Assisted Prompting

Accelerating Neural Network Verification via Multi-to-One Dependency Analysis

Direction-Anchored Decoupled Dirichlet Evidential Learning for Reliable Graph Node Classification

Sparse Fine-Tuning for Vision Transformers via Fisher Information

AMSE-Net: A Hierarchical Hybrid Architecture for Encrypted Malicious Traffic Detection

TriStat-DSA: A Feature Reweighting Module Fusing Triple-Statistical Channel Attention and Dynamic Spatial Attention

Metacognitive Activation Addition: Training-Free Enhancement of LLM Reasoning

Hessian-aware Zeroth-order Optimization for Quantized Large Language Models

FLGCF: A Stable Differentially Private Federated Learning with Adaptive Sparsification and Momentum Aggregation

Uncertainty-Aware Multimodal Emotion Recognition Method for Underground Coal Mine Dispatch Scenarios

FedDCSF: Multimodal Federated Learning with Missing Modalities via Decoupled Compensation and Cross-Modal Semantic Fusion

Cross-Modal Alignment Attacks: Inducing Vision Token Suppression in Large Vision-Language Models via Coherent False Contexts

Dynamic Routing for Collaboration Mode Selection in Multi-Agent Reasoning

OSDTW: Optimal Shared Depth and Task Weighting for Long-Tailed Recognition

CTMD: A Hybrid Deep Learning Model for Inverse Design of Metasurface

A Multi-Class Prediction Method for Lung Adenocarcinoma TMB Based on CNN and Transformer